AI Systems Engineer
About This Role
Design and optimize data pipelines, warehouses, and systems to enable AI-driven analytics and applications.
What This Role Involves
As an AI Systems Engineer, you’ll design, build, and optimize data pipelines, warehouses, and systems that power AI-driven analytics and applications. You’ll ensure data flows seamlessly across platforms, enabling machine learning models and AI solutions to operate efficiently. By combining engineering expertise with AI system design, you’ll help organizations leverage data for smarter, faster, and more reliable decision-making.
What You'll Do
- Develop and maintain scalable data pipelines and ETL processes for AI applications.
- Design and implement cloud-based data architectures for large-scale analytics.
- Ensure data quality, integrity, and availability across systems.
- Collaborate with data scientists, ML engineers, and business teams to meet system requirements.
- Optimize storage, processing, and access for high-performance AI workflows.
- Monitor system performance, troubleshoot issues, and apply improvements.
- Stay updated with emerging data technologies, cloud solutions, and AI system trends.
Why You'll Love This Role
Work at the core of AI infrastructure, powering intelligent applications.
Solve complex engineering challenges in big data and cloud environments.
Gain expertise in cutting-edge data pipeline, ETL, and cloud architecture tools.
Collaborate with cross-functional teams to deliver impactful AI solutions.
Be part of projects that directly enhance business intelligence and decision-making.
Build a high-demand career at the intersection of AI, data, and cloud engineering.